Python ML_GenAI Engineers

Infosys; Chennai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Infosys in Chennai seeks a GenAI Engineer to design and build AI-powered data pipelines and enterprise LLM solutions. You will implement RAG systems, vector search, and API-driven workflows across cloud platforms.

Responsibilities include developing cloud-native AI services on AWS, Azure, or GCP, integrating LangChain-based agents, and ensuring data quality, governance, and security across AI pipelines. Prior experience with production GenAI is preferred.

Qualifications

• Proficiency in Python and SQL for GenAI development.
• Experience building production-grade GenAI solutions.
• Knowledge of enterprise LLM platforms and API integrations.

Responsibilities

• Design and develop GenAI applications using Python and enterprise LLM platforms.
• Build scalable data pipelines for structured and unstructured data processing.
• Implement Retrieval-Augmented Generation (RAG) systems and vector-based search solutions.
• Integrate LLMs with enterprise applications through APIs and workflows.
• Develop cloud-native AI services on AWS, Azure, GCP, Databricks (DBRX), or Snowflake.
• Create agent-based solutions using LangChain and LangGraph.
• Ensure data quality, governance, and security compliance across AI workflows.
• Optimize performance, scalability, and reliability of AI solutions.

Skills

Python

SQL

ETL/ELT

Data Modeling

Data Quality

Cloud-native Development

API Integration

Data Engineering

Document Processing

Workflow design

knowledge of LLM development

RAG

Prompt Engineering

AI Coding Assistants

Tools

Hugging Face

LangChain

OpenAI

Anthropic

Gemini

Databricks

Snowflake

Job description

Python, SQL, ETL/ELT, Data Modeling, Data Quality, Cloud-native Development, API Integration, Data Engineering, ETL, Document Processing, Workflow design, knowledge of LLM development, RAG, Prompt Engineering, AI Coding Assistants

• Design and develop GenAI applications using Python and enterprise LLM platforms.
• Build scalable data pipelines for structured and unstructured data processing.
• Implement Retrieval-Augmented Generation (RAG) systems and vector-based search solutions.
• Integrate LLMs with enterprise applications through APIs and workflows.
• Develop cloud-native AI services on AWS, Azure, GCP, Databricks (DBRX), or Snowflake.
• Create agent-based solutions using LangChain and LangGraph.
• Ensure data quality, governance, and security compliance across AI workflows.
• Optimize performance, scalability, and reliability of AI solutions.

• 1+ years of experience with Hugging Face, LangChain, OpenAI, Anthropic, Gemini, or open-source LLMs.
• Familiarity with knowledge graphs and semantic search.
• Experience building production-grade GenAI solutions